About this role
Role Overview
The Director, Data Product Engineering position at Natera is a remote leadership role based in the United States, designed for an experienced professional to build and lead a team focused on domain data products and AI-enabled analytical solutions. This opportunity suits a technical leader with a strong background in data product delivery, modern data stacks, and AI-native engineering methodologies.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
The pay range for this remote USA position is $186,700 to $233,400 USD, with actual compensation determined by factors such as skill set, experience depth, certifications, and location. Natera provides comprehensive employee benefits including medical, dental, vision, life, and disability plans, free testing for employees and immediate families, fertility care, pregnancy and baby bonding leave, a 401(k) plan, commuter benefits, and an employee referral program.
About the Company
Natera is a global leader in cell-free DNA testing with a primary focus on oncology, women's health, and organ health. The organization strives to make personalized genetic testing and diagnostics a standard of care to enable earlier interventions and healthier lives. Natera maintains an inclusive, equal opportunity workplace that encourages collaboration across a diverse team of scientists, engineers, clinicians, and business professionals.
How to Apply
Interested candidates should visit the official Natera careers page to submit their application for this remote position.
Skills and tech stack
Questions candidates ask
What is the primary focus of the Director, Data Product Engineering role?
The role focuses heavily on the product side of data engineering rather than platform infrastructure, building self-service analytics experiences, creating certified cross-functional data products, and scaling a reusable operating model.
What is the salary range for this remote position?
The pay range for Remote USA is $186,700 to $233,400 USD, depending on factors like candidate experience, skill set, and certifications.
What technical stack is used in this role?
The modern data stack includes Snowflake, AWS, Claude, dbt, Fivetran, Sigma, Python, and orchestrators like Airflow or Dagster.
What level of experience is required?
Candidates must have 10+ years of overall experience in data engineering, with at least 5 years leading data or analytics engineering teams at the Director level.
Is regulatory compliance experience necessary?
Yes, delivery experience in regulated environments such as healthcare, life sciences, diagnostics, or pharma with PHI and real HIPAA compliance is required.